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3 Research Design Formulation
Afjal Hossain, Assistant Professor
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Research Design: Definition
A research design is a framework or blueprint for conducting the marketing research project. It details the procedures necessary for obtaining the information needed to structure or solve marketing research problems.
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A Classification of Marketing Research Designs
Fig. 3.1 Research Design Conclusive Research Design Exploratory Research Design Descriptive Research Causal Research Cross-Sectional Design Longitudinal Design Single Cross-Sectional Design Multiple Cross-Sectional Design
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Exploratory & Conclusive Research Differences
Table 3.1 Exploratory Conclusive Objective: Characteristics: Findings /Results: Outcome: To provide insights and understanding. Information needed is defined only loosely. Research process is flexible and unstructured. Sample is small and non-representative. Analysis of primary data is qualitative. Tentative. Generally followed by further exploratory or conclusive research. To test specific hypotheses and examine relationships. Information needed is clearly defined. Research process is formal and structured. Sample is large and representative. Data analysis is quantitative. Conclusive. Findings used as input into decision making.
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A Comparison of Basic Research Designs
Table 3.2 Exploratory Descriptive Causal Objective: Characteristics: Methods: Discovery of ideas and insights Flexible, versatile Often the front end of total research design Expert surveys Pilot surveys Secondary data Qualitative research Describe market characteristics or functions Marked by the prior formulation of specific hypotheses Preplanned and structured design Secondary data Surveys Panels Observation and other data Determine cause and effect relationships Manipulation of one or more independent variables Control of other mediating variables Experiments
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Uses of Exploratory Research
Formulate a problem or define a problem more precisely Identify alternative courses of action Develop hypotheses Isolate key variables and relationships for further examination Gain insights for developing an approach to the problem Establish priorities for further research
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Methods of Exploratory Research
Survey of experts (discussed in Ch. 2) Pilot surveys (discussed in Chapter 2) Secondary data analyzed in a qualitative way (discussed in Chapter 4) Qualitative research (discussed in Ch. 5)
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Use of Descriptive Research
To describe the characteristics of relevant groups, such as consumers, salespeople, organizations, or market areas. To estimate the percentage of units in a specified population exhibiting a certain behavior. To determine the perceptions of product characteristics. To determine the degree to which marketing variables are associated. To make specific predictions
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Methods of Descriptive Research
Secondary data analyzed in a quantitative as opposed to a qualitative manner (discussed in Chapter 4) Surveys (Chapter 6) Panels (Chapters 4 and 6) Observational and other data (Chapter 6)
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Cross-sectional Designs
Involve the collection of information from any given sample of population elements only once. In single cross-sectional designs, there is only one sample of respondents and information is obtained from this sample only once. In multiple cross-sectional designs, there are two or more samples of respondents, and information from each sample is obtained only once. Often, information from different samples is obtained at different times. Cohort analysis consists of a series of surveys conducted at appropriate time intervals, where the cohort serves as the basic unit of analysis. A cohort is a group of respondents who experience the same event within the same time interval.
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Consumption of Various Soft Drinks by Various Age Cohorts
Table 3.3 Percentage consuming on a typical day Age 1950 1960 1969 1979 8-19 20-29 30-39 40-49 50+ 52.9 45.2 33.9 23.2 18.1 62.6 60.7 46.6 40.8 28.8 C1 73.2 76.0 67.7 58.6 50.0 C2 81.0 75.8 71.4 67.8 51.9 C3 C8 C7 C6 C5 C4 C1: cohort born prior to 1900 C2: cohort born C3: cohort born C4: cohort born C5: cohort born C6: cohort born C7: cohort born C8: cohort born
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Longitudinal Designs A fixed sample (or samples) of population elements is measured repeatedly on the same variables A longitudinal design differs from a cross-sectional design in that the sample or samples remain the same over time
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Cross-sectional vs. Longitudinal
Figure 3.6 Cross Sectional vs. Longitudinal Designs Sample Surveyed at T1 Same Sample also Surveyed at T2 T1 T2 Cross- Sectional Design Longitudinal Design Time
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Cross-Sectional Design
Relative Advantages and Disadvantages of Longitudinal and Cross-Sectional Designs Table 3.4 Evaluation Criteria Cross-Sectional Design Longitudinal Design Detecting Change Large amount of data collection Accuracy Representative Sampling Response bias - + + - Note: A “+” indicates a relative advantage over the other design, whereas a “-” indicates a relative disadvantage.
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Uses of Casual Research
To understand which variables are the cause (independent variables) and which variables are the effect (dependent variables) of a phenomenon To determine the nature of the relationship between the causal variables and the effect to be predicted METHOD: Experiments
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Figure 3.8. Tasks Involved In a Research Design
Define the Information Needed Design the Exploratory, Descriptive, and/or Causal Phases of the Research Specify the Measurement and Scaling Procedures Construct a Questionnaire Specify the Sampling Process and the Sample Size Develop a Plan of Data Analysis Figure 3.8. Tasks Involved In a Research Design
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Marketing Research Proposal
Executive Summary Background Problem Definition/Objectives of the Research Approach to the Problem Research Design Fieldwork/Data Collection Data Analysis Reporting Cost and Time Appendices
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